Towards an Architectural Design Framework for Data Management in Industry 4.0

Eduardo A. Hinojosa-Palafox; Oscar M. Rodriguez-Elias; Jose A. Hoyo-Montano; Jesus H. Pacheco-Ramirez

doi:10.1109/CONISOFT.2019.00035

Towards an Architectural Design Framework for Data Management in Industry 4.0

Eduardo A. Hinojosa-Palafox, Oscar M. Rodriguez-Elias, Jose A. Hoyo-Montano, Jesus H. Pacheco-Ramirez

Departamento de Ingeniería Industrial

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This paper describes data management architecture for industries 4.0. The main contribution was the framework design of a platform that will support the integration from industrial Cyber-Physical Systems (iCFS), the demanding IoT environment, and communications with the cloud. The aim of such a platform will be allowing modeling of data elements, predictive functions, inference of the Key-Performance Indicators, and real-time analysis. We adopted an Attribute Driven Design (ADD) approach to architectural design that includes gathering requirements, from smart production planning, manufacturing process monitoring, and active preventive maintenance, repair and overhaul (MRO). We detail quality data management attributes and his constraints and concerns. The platform will be supporting both batch and stream data processing for the composition of data-driven events, optimization data services, embedded analytics, and analytics-based decision support. The deployed architecture view mapping across technologies and functional components covering all functional requirements, using technologies that are accessible under an open source license without any usage limitations.

Original language	English
Title of host publication	Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
Editors	Reyes Juarez-Ramirez, Carlos Alberto Fernandez y Fernandez, Samantha Paulina Jimenez Calleros, Alan David Ramirez-Noriega, Hector G. Perez-Gonzalez, Guillermo Licea Sandoval, Cesar Arturo Guerra-Garcia
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	191-200
Number of pages	10
ISBN (Electronic)	9781728125244
DOIs	https://doi.org/10.1109/CONISOFT.2019.00035
State	Published - Oct 2019
Event	7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019 - Mexico City, Mexico Duration: 23 Oct 2019 → 25 Oct 2019

Publication series

Name	Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019

Conference

Conference	7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
Country/Territory	Mexico
City	Mexico City
Period	23/10/19 → 25/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Architectural Design
Big Data
Cloud Computing
Industry 4.0
Internet of Things

Access to Document

10.1109/CONISOFT.2019.00035

Cite this

Hinojosa-Palafox, E. A., Rodriguez-Elias, O. M., Hoyo-Montano, J. A., & Pacheco-Ramirez, J. H. (2019). Towards an Architectural Design Framework for Data Management in Industry 4.0. In R. Juarez-Ramirez, C. A. Fernandez y Fernandez, S. P. Jimenez Calleros, A. D. Ramirez-Noriega, H. G. Perez-Gonzalez, G. L. Sandoval, & C. A. Guerra-Garcia (Eds.), Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019 (pp. 191-200). Article 9105415 (Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONISOFT.2019.00035

Hinojosa-Palafox, Eduardo A. ; Rodriguez-Elias, Oscar M. ; Hoyo-Montano, Jose A. et al. / Towards an Architectural Design Framework for Data Management in Industry 4.0. Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019. editor / Reyes Juarez-Ramirez ; Carlos Alberto Fernandez y Fernandez ; Samantha Paulina Jimenez Calleros ; Alan David Ramirez-Noriega ; Hector G. Perez-Gonzalez ; Guillermo Licea Sandoval ; Cesar Arturo Guerra-Garcia. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 191-200 (Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019).

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title = "Towards an Architectural Design Framework for Data Management in Industry 4.0",

abstract = "This paper describes data management architecture for industries 4.0. The main contribution was the framework design of a platform that will support the integration from industrial Cyber-Physical Systems (iCFS), the demanding IoT environment, and communications with the cloud. The aim of such a platform will be allowing modeling of data elements, predictive functions, inference of the Key-Performance Indicators, and real-time analysis. We adopted an Attribute Driven Design (ADD) approach to architectural design that includes gathering requirements, from smart production planning, manufacturing process monitoring, and active preventive maintenance, repair and overhaul (MRO). We detail quality data management attributes and his constraints and concerns. The platform will be supporting both batch and stream data processing for the composition of data-driven events, optimization data services, embedded analytics, and analytics-based decision support. The deployed architecture view mapping across technologies and functional components covering all functional requirements, using technologies that are accessible under an open source license without any usage limitations.",

keywords = "Architectural Design, Big Data, Cloud Computing, Industry 4.0, Internet of Things",

author = "Hinojosa-Palafox, {Eduardo A.} and Rodriguez-Elias, {Oscar M.} and Hoyo-Montano, {Jose A.} and Pacheco-Ramirez, {Jesus H.}",

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Hinojosa-Palafox, EA, Rodriguez-Elias, OM, Hoyo-Montano, JA & Pacheco-Ramirez, JH 2019, Towards an Architectural Design Framework for Data Management in Industry 4.0. in R Juarez-Ramirez, CA Fernandez y Fernandez, SP Jimenez Calleros, AD Ramirez-Noriega, HG Perez-Gonzalez, GL Sandoval & CA Guerra-Garcia (eds), Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019., 9105415, Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 191-200, 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019, Mexico City, Mexico, 23/10/19. https://doi.org/10.1109/CONISOFT.2019.00035

Towards an Architectural Design Framework for Data Management in Industry 4.0. / Hinojosa-Palafox, Eduardo A.; Rodriguez-Elias, Oscar M.; Hoyo-Montano, Jose A. et al.
Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019. ed. / Reyes Juarez-Ramirez; Carlos Alberto Fernandez y Fernandez; Samantha Paulina Jimenez Calleros; Alan David Ramirez-Noriega; Hector G. Perez-Gonzalez; Guillermo Licea Sandoval; Cesar Arturo Guerra-Garcia. Institute of Electrical and Electronics Engineers Inc., 2019. p. 191-200 9105415 (Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pacheco-Ramirez, Jesus H.

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AB - This paper describes data management architecture for industries 4.0. The main contribution was the framework design of a platform that will support the integration from industrial Cyber-Physical Systems (iCFS), the demanding IoT environment, and communications with the cloud. The aim of such a platform will be allowing modeling of data elements, predictive functions, inference of the Key-Performance Indicators, and real-time analysis. We adopted an Attribute Driven Design (ADD) approach to architectural design that includes gathering requirements, from smart production planning, manufacturing process monitoring, and active preventive maintenance, repair and overhaul (MRO). We detail quality data management attributes and his constraints and concerns. The platform will be supporting both batch and stream data processing for the composition of data-driven events, optimization data services, embedded analytics, and analytics-based decision support. The deployed architecture view mapping across technologies and functional components covering all functional requirements, using technologies that are accessible under an open source license without any usage limitations.

KW - Architectural Design

KW - Big Data

KW - Cloud Computing

KW - Industry 4.0

KW - Internet of Things

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M3 - Contribución a la conferencia

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PB - Institute of Electrical and Electronics Engineers Inc.

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Hinojosa-Palafox EA, Rodriguez-Elias OM, Hoyo-Montano JA, Pacheco-Ramirez JH. Towards an Architectural Design Framework for Data Management in Industry 4.0. In Juarez-Ramirez R, Fernandez y Fernandez CA, Jimenez Calleros SP, Ramirez-Noriega AD, Perez-Gonzalez HG, Sandoval GL, Guerra-Garcia CA, editors, Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 191-200. 9105415. (Proceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019). doi: 10.1109/CONISOFT.2019.00035

Towards an Architectural Design Framework for Data Management in Industry 4.0

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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